Statistical Analyst II - Behavioral Health

State of NebraskaLincoln, NE
Onsite

About The Position

The Nebraska DHHS Division of Behavioral Health (DBH) is seeking a Statistical Analyst II who has experience with data management and quantitative analysis to work with our Data and QI teams. This individual will share in the responsibility of completing tasks related to executing data projects that rely on statistical analyses and programming experience in Excel, Arc GIS, SPSS, SAS, SQL, and/or PowerBI. The Data and QI team supports DBH internally as well as across Behavioral Health Regions, cross-division work, cross-agency activities, and public data requests. The Data and QI team helps the Division of Behavioral Health and other entities to make data informed decisions and policies that help people live better lives.

Requirements

  • Bachelor’s degree in statistics, mathematics, economic/social science research methods, inferential/inductive statistical analysis, or other related field of quantitative analysis; OR Experience applying statistical methods and techniques to program, project, administrative, or demographic data can be substituted for the required education on a year for year basis.
  • Experience with data management and quantitative analysis.
  • Statistical analyses and programming experience in Excel, Arc GIS, SPSS, SAS, SQL, and/or PowerBI.
  • Knowledge of resources and reference materials related to statistical data collection methods.
  • Knowledge of best practices, policies, rules, and procedures related to the collection, management, and analysis of statistical data.
  • Knowledge of types and sources of statistical data relevant to the behavioral health system.
  • Knowledge of demographic characteristics and trends within the behavioral health system.
  • Familiarity with methods and practices for data collection, processing, analysis, interpretation, and reporting.
  • Ability to use quantitative methods to identify trends, evaluate findings, and support data-driven decision-making.
  • Ability to quickly learn and apply new concepts, tools, and methodologies to unfamiliar situations.
  • Ability to develop innovative quantitative solutions to address research and data-related challenges.
  • Ability to prioritize and manage multiple projects while meeting deadlines.
  • Ability to apply survey and statistical methods to analyze, interpret, and report data.
  • Ability to calculate and communicate descriptive and inferential statistics.
  • Ability to develop clear data visualizations, including tables, charts, and graphs.
  • Ability to assist with and provide technical support for the preparation of data, reports, handbooks, presentations, and other materials for diverse audiences.
  • Ability to collaborate effectively with team members and communicate clearly in person, by telephone, and through email.

Nice To Haves

  • Master's degree or higher with a focus on quantitative analysis (statistics, mathematics, economic/social science research methods, survey research and methodology, inferential/inductive statistical analysis, or another related field).
  • Microsoft Office and statistical software, including Excel, SQL, SPSS, SAS, STATA, and Power BI.
  • Research methods and research design experience.
  • Survey principles and practices, including: Sampling methods, Data collection, and Statistical analysis techniques.

Responsibilities

  • Collecting, analyzing, interpreting, and reporting data for various purposes and to different audiences.
  • Collecting, verifying, organizing, and analyzing data; interpreting results; and evaluating outcomes; and identifying trends in data.
  • Working well as a supporting member of a team, but also to work independently to complete projects in a timely manner.
  • Offering accurate, complete, and reliable statistical outcomes and interpretation of results.
  • Supporting DBH internally as well as across Behavioral Health Regions, cross-division work, cross-agency activities, and public data requests.
  • Completing tasks that pertain to legislative, state, and federal grant reporting requirements or to make recommendations for process improvements.

Benefits

  • Comprehensive package of pay, benefits, paid time off, retirement and professional development opportunities.
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